Training & Development

A learning culture is not built by offering more training. It emerges where curiosity, connection, and purpose intersect. Andrew Barry, in The Curious Lion, describes learning culture as a lotus where several forces overlap. I find this framing helpful because it moves the conversation beyond HR programs and into the fabric of the organization. At the individual level, there is curiosity. People must feel invited to ask questions, challenge assumptions, and explore. Without individual curiosity, learning remains compliance. At the organizational level, there is mission. Learning needs direction. When people understand what the company stands for and where it is going, their curiosity becomes focused rather than scattered. At the relational level, there is human connection. Learning accelerates in environments where people feel safe to speak, experiment, and reflect together. The fourth circle is continuous learning. Learning must be ongoing, not episodic. Not a workshop, but a way of operating. Continuous learning ensures that curiosity, mission, and connection reinforce each other over time rather than fading after the latest initiative. When these circles overlap, deeper elements emerge: Shared vision aligns effort. Shared experiences create collective memory. Shared assumptions shape how reality is interpreted. Shared stories transmit meaning across generations. At the center sits what we call learning culture. Not an initiative, but a pattern of how people think, relate, and evolve together. The question for leaders is not, “Do we offer learning opportunities?” It is, “Do curiosity, mission, and connection truly reinforce each other continuously in our organization?” That is where learning becomes cultural rather than occasional.

My client fired their entire SDR team on Tuesday By Friday, their pipeline had grown by 60% This sounds impossible It's not After auditing 50 B2B sales organizations over 10 years, I've uncovered the most expensive myth in modern selling: → The belief that MORE activity at the TOP of your funnel will fix conversion problems at the BOTTOM Let me share what actually happened: This mid-market software company was spending $350,000 annually on their 4-person SDR team - 100+ cold calls per rep daily - 17 meetings booked weekly - "Incredible metrics" according to leadership - But their close rate? A devastating 1.2% The VP of Sales was convinced they needed MORE outreach, MORE automation, MORE top-of-funnel I suggested something different: pause all prospecting for 7 days Instead, we had their account executives do something radical - engage with the 215 prospects already in their pipeline who'd gone cold after initial meetings Using a framework we developed: - 65 prospects responded within 24 hours - 41 booked follow-up meetings - 23 re-entered active buying cycles - 6 closed within 14 days (total value: $212K) The shocking revelation? - Their pipeline wasn't empty - It was overflowing with neglected opportunity. This company didn't have a lead generation problem. They had a lead nurturing catastrophe. By reallocating resources from mindless prospecting to strategic engagement, they've now: - Reduced CAC by 60% - Shortened sales cycles by 30% - 2x their close rate The counterintuitive truth: Sometimes the fastest path to growth is to stop chasing new opportunities and start converting the ones you've already earned. What percentage of your marketing and sales budget is focused on prospects who've already shown interest vs those who haven't? That ratio reveals everything about your future growth trajectory P.S. If you need help with your sales, send me a message

It takes one minute to damage a career you spent 30 years building. Because success isn’t about skill or intelligence. It’s about emotional regulation. Exercising restraint instead of: → Engaging in a heated debate with a client. → Exchanging a sharp word with a colleague. → Sending an angry email in the heat of the moment. The second you lose control, you’ve lost. Emotional regulation is the biggest marker of career success. The good news is it’s a muscle you can build. Here's how: 1. Know Your Triggers → Identify what sets you off. → Do you feel threatened when criticised? → Awareness is the first step to control. 2. Hit Pause → Before reacting, ask yourself: What are the consequences of my move? → Regret minimisation is critical. 3. Reframe the Experience → What else could this mean? → Maybe the person was having a bad day. → Chose an interpretation that serves you. 4. Create a Delay on Emails Sent → Set a 10-minute delay on all outgoing emails. → This in and of itself could save your career. 5. Breathe → When emotions rise, take three slow breaths. → It signals your nervous system to reset. → Simple, but powerful. 6. Speak With Emotional Intelligence → Once you’re ready to respond, choose your words carefully. → Ask: How can I create the right outcome in a calm way? Remember: → If you choose restraint, you win. → If you reframe, you grow. And every time you stay in control, you keep your power. How important do you think emotional regulation is for career success? ---- ☀️Follow Deena Priest for career, leadership and personal development insights.

Disclosing the full list of datasets used to train IBM LLMs Granite 3.0. This is true transparency - no other LLM provider shares such detailed information about their training datasets. WEB Data - FineWeb: More than 15T tokens of cleaned and deduplicated English data from CommonCrawl. - Webhose: Unstructured web content in English converted into machine-readable data. - DCLM-Baseline: A 4T token / 3B document pretraining dataset that achieves strong performance on language model benchmarks. CODE - Code Pile: Sourced from publicly available datasets like GitHub Code Clean and StarCoderdata. - FineWeb-Code: Contains programming/coding-related documents filtered from the FineWeb dataset using annotation. - CodeContests: Competitive programming dataset with problems, test cases, and human solutions in multiple languages. DOMAIN - USPTO: Collection of US patents granted from 1975 to 2023. - Free Law: Public-domain legal opinions from US federal and state courts. - PubMed Central: Biomedical and life sciences papers. - EDGAR Filings: Annual reports from US publicly traded companies over 25 years. MULTILINGUAL - Multilingual Wikipedia: Data from 11 languages to support multilingual capabilities. - Multilingual Webhose: Multilingual web content converted into machine-readable data feeds. - MADLAD-12: Document-level multilingual dataset covering 12 languages. INSTRUCTIONS - Code Instructions Alpaca: Instruction-response pairs about code generation problems. - Glaive Function Calling: Dataset focused on function calling in real scenarios. ACADEMIC - peS2o: A collection of 40M open-access academic papers for pre-training. - arXiv: Scientific paper pre-prints posted to arXiv. Full author acknowledgement can be found here. - IEEE: Technical content from IEEE acquired by IBM. TECHNICAL - Wikipedia: Technical articles sourced from Wikipedia. - Library of Congress Public Domain Books: More than 140,000 public domain English books. - Directory of Open Access Books: Publicly available technical books from the Directory of Open Access Books. - Cosmopedia: Synthetic textbooks, blog posts, stories, and WikiHow articles. MATH - OpenWebMath: Mathematical text from the internet, filtered from 200B HTML files. - Algebraic-Stack: Mathematical code dataset including numerical computing and formal mathematics. - Stack Exchange: User-contributed content from the Stack Exchange network. - MetaMathQA: Dataset of rewritten mathematical questions. - StackMathQA: A curated collection of 2 million mathematical questions from Stack Exchange. - MathInstruct: Focused on chain-of-thought (CoT) and program-of-thought (PoT) rationales for mathematical reasoning. - TemplateGSM: Collection of over 7 million grade-school math problems with code and natural language solutions. BOOM!

After spending three decades in the aerospace industry, I’ve seen firsthand how crucial it is for different sectors to learn from each other. We no longer can afford to stay stuck in our own bubbles. Take the aerospace industry, for example. They’ve been looking at how car manufacturers automate their factories to improve their own processes. And those racing teams? Their ability to prototype quickly and develop at a breakneck pace is something we can all learn from to speed up our product development. It’s all about breaking down those silos and embracing new ideas from wherever we can find them. When I was leading the Scorpion Jet program, our rapid development – less than two years to develop a new aircraft – caught the attention of a company known for razors and electric shavers. They reached out to us, intrigued by our ability to iterate so quickly, telling me "you developed a new jet faster than we can develop new razors..." They wanted to learn how we managed to streamline our processes. It was quite an unexpected and fascinating experience that underscored the value of looking beyond one’s own industry can lead to significant improvements and efficiencies, even in fields as seemingly unrelated as aerospace and consumer electronics. In today’s fast-paced world, it’s more important than ever for industries to break out of their silos and look to other sectors for fresh ideas and processes. This kind of cross-industry learning not only fosters innovation but also helps stay competitive in a rapidly changing market. For instance, the aerospace industry has been taking cues from car manufacturers to improve factory automation. And the automotive companies are adopting aerospace processes for systems engineering. Meanwhile, both sectors are picking up tips from tech giants like Apple and Google to boost their electronics and software development. And at Siemens, we partner with racing teams. Why? Because their knack for rapid prototyping and fast-paced development is something we can all learn from to speed up our product development cycles. This cross-pollination of ideas is crucial as industries evolve and integrate more advanced technologies. By exploring best practices from other industries, companies can find innovative new ways to improve their processes and products. After all, how can someone think outside the box, if they are only looking in the box? If you are interested in learning more, I suggest checking out this article by my colleagues Todd Tuthill and Nand Kochhar where they take a closer look at how cross-industry learning are key to developing advanced air mobility solutions. https://lnkd.in/dK3U6pJf

It’s simple math 🧐 I use to think that motivation was the key to monumental success. Long story short, it’s not. It’s about the little things you do every day that will take you from reasonable to slightly unreasonable to completely unreasonable progress. Your future is not defined by how motivated you are, but by your daily routines and systems. I believe in this so much that we named our company Butterfly 3ffect to reflect the value of incremental gains. we believe that that’s how the best people and brands grow. Here’s how you grow the small way: 1. Start by setting achievable goals, like reading one chapter of a book each day or going for a short walk 2. Practice gratitude by writing down three things you're thankful for every night before bed 3. Engage in daily self-reflection, even if it's just for a few minutes, to assess your thoughts and actions 4. Incorporate small acts of kindness into your daily routine, like holding the door for someone or offering a genuine compliment 5. Learn something new every day, whether it's a fun fact, a new word, or a new skill 6. Prioritise self-care by getting enough sleep, staying hydrated, and taking breaks when needed 7. Surround yourself with positive influences, whether it's uplifting books, supportive friends, or inspiring podcasts 8. Embrace failure as a learning opportunity and a stepping stone to growth 9. Stay consistent and patient, knowing that small progress over time adds up to significant improvement 10. Celebrate your achievements, no matter how small, to stay motivated and encouraged along the way.

🏃♀️ Imagine a study on marathon performance that doesn't mention some runners are carrying 50-pound backpacks. That's the 2025 Women in the Workplace report from Mckinsey and LeanIn 60 pages on why women "want promotions less." Zero mentions of childcare, eldercare, or the invisible second shift. Their own data shows women and men are equally committed to their careers, over 90% on every measure. Young women under 30 has even more ambitious than young men. Latinas are the most ambitious group in the entire study. 🤔 So where does this "ambition gap" come from? Buried on page 10, in a small box, they note that women who decline promotion cite "personal obligations" at nearly double the rate of men. Then they move on. No follow-up. No analysis. No asking the obvious question: What are these "personal obligations"? 💔 I'll tell you what they are. 👉 They're the 2am feeding before your 8am presentation. 👉 The school pickup that can't be rescheduled. 👉 The elderly parent who needs a doctor's appointment during your board meeting. 👉 The mental load of remembering everyone's everything while being told you "lack ambition." The report measured ambition without measuring the invisible infrastructure women are running at home. 👉 Here's what the report should have asked: ⁉️ Do women with equal childcare support want promotions at the same rate as men? ⁉️ Do women with flexible work arrangements show the same career drive? ⁉️ Does the "ambition gap" exist in countries with subsidized childcare? (Spoiler: Research says no, no, and no.) Instead, they concluded women are less ambitious and moved on to solutions that don't address the actual problem. This isn't just a missed opportunity. It's a misdirection! ❌ Because when you diagnose "ambition gap" instead of "care gap," you get solutions like "women need more confidence" instead of "workplaces need to stop penalizing caregiving." You get women blamed for systemic failures. 📊 Here's what an honest report would say: ✅ Women aren't less ambitious. They're doing two jobs while being evaluated as if they're doing one. ✅ The workplace wasn't designed for people with caregiving responsibilities. It was designed for people with wives. ✅ Until we redesign the system, we'll keep "discovering" that women don't want what men want, when really, women just can't afford what men take for granted. That's exactly why we built "From Hidden Talent to Visible Leader", because the women I work with aren't lacking ambition. They're lacking a system that sees their full contribution. Next cohort starts end of Jan 2026. 👉 Join the waitlist: https://lnkd.in/gx7CpGGR 👊 Because women don't have an ambition problem. The workplace has a measurement problem, and it starts with reports that count everything except what actually matters.

Over the course of my career, I’ve learned to be okay with getting things wrong.       Not because it feels good (it doesn’t), but because every mistake creates an opportunity to learn and grow. And because it means someone trusted me enough to tell me when I missed the mark. That kind of honesty feels increasingly rare—especially in a world where AI is telling people exactly what they want to hear and where people increasingly gravitate toward information that confirms their beliefs.      That’s why I think one of the most valuable skills you can cultivate is this: Find people who will give you tough feedback.      Across my time at Microsoft, the Gates Foundation, and Pivotal, the moments that shaped me the most weren’t the wins. They were the times when someone I trusted pulled me aside and gave me feedback I needed to hear. These conversations helped me see what I’d missed and rethink how I was showing up, which made me a better leader. But they only happened because the people around me knew they could be honest, and in fact, I expected them to be. You can’t grow—or help your teams grow—if you act like you’re the only one with all the answers.      I’ve seen this in every place I’ve worked. The leaders who made the biggest impact weren’t the ones who got it right all the time. They were the ones who created the conditions for honesty. Their teams felt free to surface new ideas, ask tough questions, and admit their mistakes. And those leaders were humble enough to hear feedback about themselves—and then take the steps to do things differently.       My advice on how to build this skill? Seek out colleagues and mentors you can trust to give you honest feedback. Ask for it often. Be vulnerable—not defensive—and take the opportunity to understand what you didn’t see before. It will transform the way you learn, lead, and build teams that thrive. #SkillsontheRise 

The most powerful sales tool isn’t a spec sheet — it’s a live demo. What do you think about this one? Across industries, the data is overwhelmingly clear: 🔹 67% of enterprise buyers say seeing a product in action is the #1 factor influencing their decision. 🔹 Demos shorten sales cycles by 30–50%, especially for complex solutions like servers and GPU-accelerated workloads. 🔹 In assistive tech—like mobility or handicap-support chairs—real-world demonstrations boost customer trust by 70%, because impact is immediately visible. 🔹 For AI/HPC hardware, customers who see workload performance live are 3× more likely to move forward compared to those who only receive documentation. Why? Because visibility removes uncertainty. A demo translates complexity into clarity. It turns “theory” into tangible value. Whether it’s: ⚡️ a next-gen server showing real performance under load, 🧠 a GPU pipeline speeding up an AI workload in real time, or ♿️ an assisted mobility chair transforming someone’s daily life… Seeing the product in action closes the gap between curiosity and commitment. This is the difference between telling and showing — and that gap is where conversion happens. #Innovation #Technology #HPC #AI #GPU #Servers #DataCenter #TechLeadership #Innovation #CustomerExperience #AIInfrastructure #AccessibilityTech

Founders: your job isn’t to be the gatekeeper of ideas. 🚀 When you say no, an idea dies before it ever has the chance to prove itself. That’s how creativity gets stifled and teams stop bringing bold ideas forward. Instead: ✅ Don’t kill ideas; let them prove themselves. ✅ Push ownership back to the person who suggested it. ✅ Say “Prove me wrong” and watch innovation take off. When people feel trusted to test their own ideas, you’ll see more experimentation, more ownership, and ultimately—better ideas.